30 day-ahead forecasting on PM10 Mumbai Monthly Split (JAN)
30.73MAEGpGp
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GpGpModel Category=Spatio-Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 30.73 | 1.53 | 37.08 | 26.47 | 15.37 | 25.86 | |
| ARIMAModel Category=Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 32.66 | 1.55 | 38.76 | 27.61 | 16.77 | 25.35 | |
| NBeatsModel Category=Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 35.39 | 0.76 | 52.25 | 30.69 | 23.17 | 27.11 | |
| GSTARModel Category=Spatio-Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 36.13 | 1.81 | 42.49 | 31.46 | 18.06 | 27.22 | |
| STARMAModel Category=Spatio-Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 36.59 | 1.86 | 43.75 | 32.5 | 18.3 | 30.25 | |
| GCSVRModel Category=Proposed, Forecasting Horizon=30 day-ahead2026.05 | 36.63 | 1.76 | 43.9 | 31.64 | 17.9 | 27.18 | |
| Trans.Model Category=Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 37.42 | 2.15 | 42.51 | 37.81 | 8.12 | 27.08 | |
| STGCNModel Category=Spatio-Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 40.47 | 1.05 | 46.97 | 33.81 | 22.52 | 30.91 | |
| DeepARModel Category=Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 57 | 2.89 | 64.24 | 59.59 | 10.23 | 48.35 | |
| LSTMModel Category=Temporal Model, Forecasting Horizon=30 day-ahead2026.05 | 59.47 | 3.02 | 67.97 | 65.1 | 29.73 | 46.96 |